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Mixtral 4x7b Slerp by monology

 »  All LLMs  »  monology  »  Mixtral 4x7b Slerp   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 4x7b Slerp Benchmarks

ARC: 25.09 vs 96.7 (so35)-74.1%
HellaSwag: 27.51 vs 95.3 (gpt4)-71.1%
MMLU: 25.1 vs 88.3 (so35)-71.6%
TruthfulQA: 50.14 vs 59 (gpt4)-15%
WinoGrande: 51.54 vs 87.5 (gpt4)-41.1%
LLME Score: 0.24938
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 4x7b Slerp Parameters and Internals

LLM NameMixtral 4x7b Slerp
Repository 🤗https://huggingface.co/monology/mixtral-4x7b_slerp 
Model Size24.2b
Required VRAM96.8 GB
Updated2024-10-18
Maintainermonology
Model Typemixtral
Model Files  4.8 GB: 1-of-20   4.8 GB: 2-of-20   4.9 GB: 3-of-20   4.8 GB: 4-of-20   4.9 GB: 5-of-20   4.8 GB: 6-of-20   4.8 GB: 7-of-20   4.9 GB: 8-of-20   4.8 GB: 9-of-20   5.0 GB: 10-of-20   4.9 GB: 11-of-20   4.8 GB: 12-of-20   4.9 GB: 13-of-20   4.8 GB: 14-of-20   4.8 GB: 15-of-20   4.9 GB: 16-of-20   4.8 GB: 17-of-20   5.0 GB: 18-of-20   4.9 GB: 19-of-20   4.5 GB: 20-of-20
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32
Mixtral 4x7b Slerp (monology/mixtral-4x7b_slerp)

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Note: green Score (e.g. "73.2") means that the model is better than monology/mixtral-4x7b_slerp.

Rank the Mixtral 4x7b Slerp Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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